Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications

This book discusses techniques for decision-making, uncertain reasoning, and regression analysis in hesitant fuzzy environments, with the aim of introducing these techniques, proving them theoretically, and applying them to practical problems. It is valuable for readers to understand the application of hesitant fuzzy sets in these areas and motivates researchers to explore further applications.

Format: Paperback / softback
Length: 176 pages
Publication date: 06 October 2022
Publisher: Springer Verlag, Singapore

This comprehensive book delves into a range of techniques for decision-making, uncertain reasoning, and regression analysis within the context of hesitant fuzzy environments. It not only introduces these methods but also provides theoretical proofs and practical applications to real-world problems. With three primary objectives, the book aims to:
1. Introduce techniques for decision-making, uncertain reasoning, and regression analysis in hesitant fuzzy environments.
2. Provide theoretical evidence to support and validate these techniques.
3. Apply the involved techniques to solve practical problems.

The book is particularly valuable for readers seeking to understand the role of hesitant fuzzy sets in decision-making, uncertain reasoning, and regression analysis. It serves as a catalyst for researchers to explore further applications of hesitant fuzzy sets in diverse fields.

By exploring these techniques, the book offers a valuable resource for professionals, researchers, and students in the fields of mathematics, engineering, and computer science, enabling them to make informed decisions and solve complex problems in a more efficient and effective manner.

Weight: 296g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811658020
Edition number: 1st ed. 2021